Analytics and Data Summit 2018

Dan Vlamis will introduce Analytics and Data Summit 2018 and Spatial Summit leaders will introduce the Spatial Summit during opening talks on Tuesday.

Oracle Autonomous Data Warehouse Cloud is the industry’s first self-driving, self-securing, self-repairing database cloud service, offering you high availability, performance and security without human intervention. Oracle Autonomous Analytics Cloud is the industry’s leading cloud analytics platform, empowering you to achieve broader, deeper, and faster insights with augmented analytics in a hands-free platform. Join Oracle executives Andy Mendelsohn and Waqar Hasan to hear how Oracle’s new Cloud services leverage AI and machine learning to redefine the state-of-the-art for data warehousing and analysis, so you can ask any question of any data and get better answers faster

One of the biggest ongoing discussion points, and in fact a key decision factor to be bedded down prior to implementing a BI, Analytics application is whether it should be implemented as an on premises system, or as a cloud solution. We have come fairly quickly from a place where we had hardware on raised pallets in dark corners of basement floors. By contrast, we are now in the place where as far as possible, the business attempts to give the individual user access to self-served information on their personal device, at any time. The analogy I often use for this is one where my Grandfather one day clung to one end of a firmly planted Tulip and said to me; “ Look how strong I am, I have the world on the other end of this!” The internet used to be the domain of the few, and now it is almost impossible for an individual to function without it. In this discussion I will cover some fairly weighty topics, but in plain ‘ol English! This discussion is for Senior Executives in Finance or IT.

Don't miss the Architecture Live experience! In this interactive session, you'll witness two industry experts digitally illustrating data-driven architectures live, with input and feedback from the audience.

Kafka, Lambda, and Streaming Analytics will be all covered. We’ll tell you what these words mean, and more importantly how they affect the choices we make building an enterprise architecture. With the Oracle Information Management Reference Architecture as the backdrop, we'll clarify and delineate the different components involved in delivering big data, fast data, and all the gray area in between. The Architecture Live experience will be fun and different, and we'll all learn something along the way.

No hype cycles or predictions of a gazillion things here. IoT is big. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen! We present a step-by-step plan to develop your technology implementation strategy on the Oracle Cloud. We discuss the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud technical architecture, IoT platform selection, end-to-end security, enterprise systems integration and monetization techniques. Seize market opportunities by following our methodology to design and implement a systems architecture that meets complex demands for security, flexibility, durability, and scalability.

So you want to use Oracle Business Intelligence but your organization doesn't have an Oracle Database, or maybe you do but most of your data sources are stored in a warehouse such as Redshift or Snowflake.

At first glance it might seem that Oracle BI is no longer an option, but don't worry -- it is. In this presentation, we'll guide the audience through the nuanced complexity faced when installing a JDBC Driver for the purpose of connecting Oracle Business Intelligence to a database that isn't Oracle. While we use Redshift as an example, the shared insights will be helpful for anyone connecting Oracle BI to any warehouse or database.